Antecedents of agriculture supply chain performance during COVID-19: an emerging economy perspective

Sneha Kumari (), Shirish Jeble (), V. G. Venkatesh (), Chandrasekaran Nagarajan () and Yangyan Shi ()
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Sneha Kumari: Symbiosis International (Deemed University)
Shirish Jeble: ICFAI Business School
V. G. Venkatesh: EM Normandie Business School, Metis Lab
Chandrasekaran Nagarajan: KREA University
Yangyan Shi: Macquarie Business School, Macquarie University

Operations Management Research, 2023, vol. 16, issue 1, No 27, 489-510

Abstract: Abstract COVID-19 led to several complications like labor shortage, inadequate availability of supply chain facilities, price fluctuation, panic behavior, and uncertainty. Despite the challenges, the farmers and stakeholders adopted different strategies for sustaining the agricultural supply chain performance. Hence, the study proposes to explore the antecedents that led to the ASC performance and their linkages. The study combines literature review and qualitative methods to understand and recognize antecedents that impact ASC performance in developing countries. The conceptual model is built with the underpinning theory (the theory of commitment and organization). A quantitative survey follows the study to validate the theoretical model empirically using covariance-based structure equation modeling (AMOS). The ASC performance in the earlier phase of COVID-19 was disrupted. With time, ASC performance was managed by linking different antecedents. The findings reveal the application and linkage of organization theory and theory of commitment which led to ASC performance. The study finds a unique contribution among academia and practitioners by paving directions to manage the uncertainty during COVID-19 and any such risk triggers in the future. The study offers essential insights for practitioners and policymakers to develop a road map for ASC during the calamities.

Keywords: Agriculture supply chain; COVID-19; Commitment; Complexity; Size; Operational adjustment agility; Uncertainty; Collectives (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12063-022-00295-3

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